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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all functions with links to the classes they belong to:</div>

<h3><a id="index_w" name="index_w"></a>- w -</h3><ul>
<li>Wave()&#160;:&#160;<a class="el" href="classshark_1_1_wave.html#aeabdd6a76649d639de25593927428766">shark::Wave</a></li>
<li>weight()&#160;:&#160;<a class="el" href="classshark_1_1_ensemble.html#a8362fb3624b7976c8260cb5c1e98f311">shark::Ensemble&lt; ModelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a3b684ed2ebcb1c8502e8116ee1ba8153">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>WeightedDataBatch()&#160;:&#160;<a class="el" href="structshark_1_1_weighted_data_batch.html#ac82c6a85cfc3cedcc5f9ad7ab0d370aa">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a></li>
<li>WeightedDataPair()&#160;:&#160;<a class="el" href="structshark_1_1_weighted_data_pair.html#a44ea6d553a9c404762877e73a27be98a">shark::WeightedDataPair&lt; DataType, WeightType &gt;</a></li>
<li>weightedDerivatives()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_model.html#adb4966b597013417b5e9957c84485c8c">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_concatenated_model.html#a46b3208ecf225b142517c82c190a31b5">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a5019b360632186848424561bcb49bcb7">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a></li>
<li>weightedInputDerivative()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_kernel_function.html#af534a7a45f73baab879c2f0bfb75f00a">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#a3c192dedb474c5a8e39b1f46d99f94cc">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#af6ecdacc02a669cdb85a59ffa50fed31">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_concatenated_model.html#a881aa5af1b43ab5ffce47d2a44cc1b32">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#a58ea7c864d76478c172a7e7799ad816d">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_dropout_layer.html#a3c09852df31dd53eca754ded34fe5531">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a31bb55db7ececca83348244ce1d20a78">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#a18a92f96d0a21f466498d858e8da0ea5">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a453cbfdae76a34c3bef4de54246f2a15">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#afbcbbc68770e4ffe79cfdec7254598c6">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_neuron_layer.html#a704f5a3c5c80639fff93fc55ef1a474d">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#a78299d1e57af5a48afab449ad248f80f">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a19aced1c84b714199b4d30ebd86b0656">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#a32d46299f9d8e89f241518efa2cdfd0f">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_resize_layer.html#ac7e74232d7382fa6040bb3c3b86a30d9">shark::ResizeLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a27d1b92e9651b938feb3f61938f0d92f">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#ac85e0509d78aeb0909c9a4b3876eb94f">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>weightedInputDerivativeImpl()&#160;:&#160;<a class="el" href="classshark_1_1_weighted_sum_kernel.html#a8b3fc6653bb38681f0292d81251103a4">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>weightedInputs()&#160;:&#160;<a class="el" href="classshark_1_1_weighted_labeled_data.html#a8fe95c73b1014c9e73a377ce6ede962c">shark::WeightedLabeledData&lt; InputT, LabelT &gt;</a></li>
<li>WeightedLabeledData()&#160;:&#160;<a class="el" href="classshark_1_1_weighted_labeled_data.html#a0604b2b664701ba0cfc78c32e43e9f6c">shark::WeightedLabeledData&lt; InputT, LabelT &gt;</a></li>
<li>weightedParameterDerivative()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_kernel_function.html#a48557b9834bc06ccb4e005ce441904c8">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#ad699b6b1f813c5cc3b3ed45f254dbc1d">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#a2788b71608aaeb04b65e35bce58169e0">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_c_m_a_c_map.html#a031287cd10309ed47498ec798d445540">shark::CMACMap</a>, <a class="el" href="classshark_1_1_concatenated_model.html#a5a81b3d399d907f1dc6ea0ccc1e6af32">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#a7e08e22875a1316ee70df6fb857900c6">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_dropout_layer.html#a463d90503846768a7bd111881f178f6c">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#ae3fafcbea6b5beb05aa0474f02ae5f3f">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#ae0cbf6b5b20255c1c82f1a83542c0ebb">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a6e9fdbdec8a3eeef0aa6d6bcbb6a917e">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_model_kernel.html#a2bb1495d44639540f9e35e07ad1b5cd3">shark::ModelKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#af53223d5bb25bf94a54da39fe32a50da">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_neuron_layer.html#a77fafddfd9c5068f8fa543d43741757b">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#a3e93a1c512126fb0ad7d098dc7c03eb7">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#ae18f754e67f7b59cade8e26437a1cf39">shark::PointSetKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a540870bc48d3e34c609f896e628c8bf6">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#a7b7eceac5d8d6c11fa787670b448b5ef">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#ae157c4443c817e640e439081a380c1c9">shark::RBFLayer</a>, <a class="el" href="classshark_1_1_resize_layer.html#aaafcc82e666ef955a86f1ddd4510f81f">shark::ResizeLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#aa0f2ea06b6721fdb90cc6324e1254e91">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a32e469b9516edfadd503609e68c2ab4a">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>WeightedSumKernel()&#160;:&#160;<a class="el" href="classshark_1_1_weighted_sum_kernel.html#aee096c1b04abdeb6cc2bdd5a5b01ea17">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>WeightedUnlabeledData()&#160;:&#160;<a class="el" href="classshark_1_1_weighted_unlabeled_data.html#ab781cf87de5c135103795a0c44210b2b">shark::WeightedUnlabeledData&lt; DataT &gt;</a></li>
<li>weightMatrix()&#160;:&#160;<a class="el" href="classshark_1_1_r_b_m.html#a84024ce828171989645feca12095c3cd">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a></li>
<li>weights()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#abe589b2e99897da15278127267247ac8">shark::CMA</a>, <a class="el" href="classshark_1_1_l_m_c_m_a.html#a9986354da96031a9ea68893836293075">shark::LMCMA</a>, <a class="el" href="classshark_1_1_v_d_c_m_a.html#aa899fb6ab6bf117a8ed37cd058dd2434">shark::VDCMA</a></li>
<li>what()&#160;:&#160;<a class="el" href="classshark_1_1_exception.html#a65a4dde65a8c3d21783086e9aa19ed32">shark::Exception</a></li>
<li>whitening()&#160;:&#160;<a class="el" href="classshark_1_1_fisher_l_d_a.html#a1c26c9088f95cd2c16993da0181d2d09">shark::FisherLDA</a></li>
<li>width()&#160;:&#160;<a class="el" href="classshark_1_1_qp_sparse_array.html#aeaeaa2435983010624e3d8149fb8cb26">shark::QpSparseArray&lt; QpFloatType &gt;</a></li>
<li>willAdaptReferenceVectors()&#160;:&#160;<a class="el" href="classshark_1_1_r_v_e_a.html#aaa84d48241b320888745cfc4eb5ed668">shark::RVEA</a></li>
<li>write()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_clustering.html#a1256454c153c93d532738311bf7600a0">shark::AbstractClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_line_search_optimizer.html#a184bd9be70f815f9cb8d45782be364a7">shark::AbstractLineSearchOptimizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_abstract_metric.html#a525c9c1f3d9af398bb257b8e42cafe24">shark::AbstractMetric&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#a7d3f3d4d781954dc43d6cd445a5b56b4">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_adam.html#aff40083e249cf987ca9232c4af82138b">shark::Adam&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#a887ab2f88ec08fdde7c930ad5d9914f1">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_b_f_g_s.html#aa11e064ff150fe05df14d839e0b9e65c">shark::BFGS&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_binary_layer.html#a0c763de54f2b22134844f6b686615878">shark::BinaryLayer</a>, <a class="el" href="classshark_1_1_bipolar_layer.html#a3c3b72657fdf459e6292436dbbdd47d5">shark::BipolarLayer</a>, <a class="el" href="classshark_1_1_c_a_r_tree.html#aee2721f04af7597a7df6a825b4ca7777">shark::CARTree&lt; LabelType &gt;</a>, <a class="el" href="classshark_1_1_centroids.html#a47f8243d170bf0c732a7c100b47574b5">shark::Centroids</a>, <a class="el" href="classshark_1_1_c_g.html#a1d597e2346a245078bfcf2679707fd25">shark::CG&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_classifier.html#a580c095f6fdbb8abb438ad7af392bc77">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_clustering_model.html#a4e2e1b22bebd57146434b0bcd5abd7d7">shark::ClusteringModel&lt; InputT, OutputT &gt;</a>, <a class="el" href="classshark_1_1_c_m_a.html#a69554923b2647c1eddf0aa3ca5a1ab53">shark::CMA</a>, <a class="el" href="classshark_1_1_c_m_a_c_map.html#ad9597822967b16ae5a73a9d3c9af1309">shark::CMACMap</a>, <a class="el" href="classshark_1_1_c_m_s_a.html#ad1073e03895e4aa8983fe34fd084054d">shark::CMSA</a>, <a class="el" href="classshark_1_1_concatenated_model.html#ae2e6d07d50968b7f8d29b194c220ab2a">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#a8feb74e6ec2f1ef0331b78553f142bcb">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_method.html#a908b9eccea031c98b26a46357952abd7">shark::CrossEntropyMethod</a>, <a class="el" href="classshark_1_1_c_svm_derivative.html#ab23ece6f8bff1fbfc3820b9c6031a874">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="group__shark__globals.html#ga85030a0dabab1040989d82ae78dd98be">shark::Data&lt; Type &gt;</a>, <a class="el" href="classshark_1_1_discrete_kernel.html#aa6ceb9cefe199070f62832348f9c4421">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_dropout_layer.html#af43aa5910f185e67e2dc2d4bb7c94406">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_elitist_c_m_a.html#a323034584e6ae4951ab79f9b504728fd">shark::ElitistCMA</a>, <a class="el" href="classshark_1_1_gaussian_layer.html#af6a8b46ec5a2bbef8c4fce3c17ddd565">shark::GaussianLayer</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a4fd68f15eb82ff3894f4077d0cb2d284">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#aa82b43af690db009d1a2c0f052451f29">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_grid_search.html#a3b6f1136e80165ecdea7e03df801f96f">shark::GridSearch</a>, <a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#a5645eec5cc98342c26c9bac85e770a6d">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#abea5ac7d2dcbf9edf7018d16230b259f">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a0edd4f0218582b0525b3e87e9e8a5641">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_i_serializable.html#a9bddedd42933c922e323b73131f62f12">shark::ISerializable</a>, <a class="el" href="classshark_1_1_kernel_expansion.html#a962e6ea8753f0146c69ff41002c4e413">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="group__shark__globals.html#gad2c0f1e5f794eb3c7e1c9d644ac6d0c1">shark::LabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_l_b_f_g_s.html#ab5341c7990a3411e81bf04dd00b0983d">shark::LBFGS&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#a2c8610c2917e19e1b0e35add96718463">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a70ce96ffbc504cbf6bc55637fbef2d95">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_line_search.html#a6921816c3674b7ca83f308df70932da3">shark::LineSearch&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_model_kernel.html#aed3c9419a10b26aabb60dabafa24275a">shark::ModelKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a8c3df4441eb82c4a0bfcdbe97e6ce758">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="structshark_1_1_multi_task_sample.html#a2d8507c0c1f15728fdfafbc5942fdfaf">shark::MultiTaskSample&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_nested_grid_search.html#aa9b5d9cd975a160a3f24edae703bf1e7">shark::NestedGridSearch</a>, <a class="el" href="classshark_1_1_neuron_layer.html#af2adc70f436d1c451184d53347146b63">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_normalizer.html#af7a6042a8188ec54b40d326cfcdb95eb">shark::Normalizer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_one_versus_one_classifier.html#ad3bd0e335f681d47795214af7fcee3f7">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_optimization_trainer.html#abdc10088c9e637d0008ec1bc52007400">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_point_search.html#a6fa53e94f0eeceabbc5bbf868b5ed77b">shark::PointSearch</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#aa2e39b7ba4d4a02b1745ade3fd28181f">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#a90ee269f47474aabce23f512e82507e4">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#ac9c1bfb999363139a18252af55b119d5">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#a05b2cbad373fbe6e71cae2df22cc6887">shark::RBFLayer</a>, <a class="el" href="classshark_1_1_r_b_m.html#a86fc20140fb2838b0e2dbbdee0a36650">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a>, <a class="el" href="classshark_1_1_resize_layer.html#ad2d44978e71a8e9181d4204bf2b6bdce">shark::ResizeLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_rprop.html#aa3eeff5854571f527c46558397f4e23b">shark::Rprop&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a41ae2a868b1e1c64f8eaac6bc0e8453a">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_simplex_downhill.html#a5d9266eb4c29db81c104eab71c7890e7">shark::SimplexDownhill</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#ae17de769f47872348814bdff64ba1f9d">shark::SMSEMOA</a>, <a class="el" href="classshark_1_1_steepest_descent.html#a3a829170c0a8e14fba555d3eb30b7f96">shark::SteepestDescent&lt; 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